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To fully realize the value of all the data available, companies need to take a more scientific, collaborative approach to business intelligence (BI). In this helpful resource, learn about a relationship-based approach to BI and analytics that realigns key responsibilities to better match the needs of your enterprise.
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Access the following white paper to uncover how to enable a faster SAP HANA deployment time and an overall faster time to ROI. Learn about the prerequisites for a smooth adoption, where to turn for additional services, and more.
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Read this white paper and learn how the data warehouse, metadata and modeling environment will be transformed in the next few years — and what you need to do to leverage it for your business, the major components of DW 2.0 architectures, and key modeling and metadata management strategies for DW 2.0.
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Read this white paper and learn about the intelligent software in the Oracle Exadata Storage Server that accelerates database query processing (DQP) by offloading database query processing to the storage layer.
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This valuable report examines the critical role of data integration in driving big data success. Read on to learn about the current state of data integration, the key challenges of big data, and more.
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The following white paper reviews the business drivers that are impacting the new wave of data management, highlights the new tools companies have for consideration in their next generation data architecture, and finally outlines a total data management blueprint for consideration in your big data strategy.
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Appliances are no longer a single category of solution. The market has segmented into offerings designed for different types and sizes of workload. Access this white paper today to learn about the principal competitors in the midrange to high-end appliance bracket, and more.
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Companies are rushing to invest in big data analytics tools, but many forget about the underlying infrastructure that supports their big data efforts. In this informative white paper, learn why the right database management system (DBMS) could be the key to a successful big data analytics project.
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This brief white paper outlines information lifecycle management (ILM), a set of strategies for managing the growth, storage and retrieval of information over its useful life. Its goal is to ensure that frequently accessed data is returned as fast as possible, while controlling storage costs.
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Data warehousing can be an expensive, complicated bag of hardware, software and support. However, adopting a data warehouse appliance will benefit your business today and in the future. In this new white paper, learn about their evolution, pros and cons and if this technology is the right fit for your business. Read it today.
